An Intelligence Based E-learning Frame Work Based on User Preference
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
In bleeding edge days, to improve e-business, the locales are tweaked for each customer by cognizance their pastimes and conduct. The rule troubles of online use data can't avoid being information over-weight and their dynamic nature. In this paper, to address these issues dynamic recommender structure that uses web use mining strategies in pair with programming experts created for giving component proposition to customers in e-learning system that can be used for re-trying a website for each customer is proposed. The proposed dynamic recommender uses swarm knowledge from the searching behavior of a bluegill fish. It vanquishes the information over-weight by dealing with component practices of customers. This recommender system give record subjectively to the all customers considering their slant. The exploratory results show that the recommender structure can better handle dynamic behavior and consistency in customers eagerness than the routine group arranged filtering systems.
Authors and Affiliations
Gogula Bharathi. P, Gopalakrishnan. T
Keywords
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